Sang Yuling (Jacques Behmoaras's Team)
Yuling completed his Bachelor of Science degree in Beijing University of Posts and Telecommunications, and his Master of Science degree in University of Oxford, with major in computer science and biomedical engineering.
He is currently applying state-of-the-art artificial intelligence methods to biological research. His primary focus is on the integration of multi-omics cell data and the latest advances in spatial transcriptomics analysis.
Email: yuling.sang@u.duke.nus.edu
Publications:
- Yuling Sang, Marcel Beetz, and Vicente Grau, “Generation of 12-lead electrocardiogram with subject-specific, image-derived characteristics using a conditional variational autoencoder,” in 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022, pp. 1–5.
- Marcel Beetz, Abhirup Banerjee, Yuling Sang, and Vicente Grau, “Combined generation of electrocardiogram and cardiac anatomy models using multi-modal variational autoencoders,” in 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022, pp. 1–4.